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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ydhcg-bobo/stcmot
공식 코드STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking
https://github.com/yeliudev/R2-Tuning
공식 코드R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
https://github.com/yeliudev/VideoMind
공식 코드https://github.com/yellow-binary-tree/hawkeye
공식 코드HawkEye: Training Video-Text LLMs for Grounding Text in Videos
https://github.com/yellow-binary-tree/mmduet
공식 코드https://github.com/yellowtownhz/STIGCN
공식 코드Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/yf-li15/DisenHCN
공식 코드DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
https://github.com/yfsong0709/EfficientGCNv1
공식 코드Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
https://github.com/yfsong0709/RA-GCNv2
공식 코드Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
https://github.com/yfzhang/vehicle-motion-forecasting
공식 코드https://github.com/yhZhai/WSCL
공식 코드Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
https://github.com/yhZhai/idol
공식 코드IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
https://github.com/yhy-2000/videodeepresearch
공식 코드VideoDeepResearch: Long Video Understanding With Agentic Tool Using
https://github.com/yihong-97/stict
공식 코드Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
https://github.com/yihongXU/TransCenter
공식 코드TransCenter: Transformers with Dense Representations for Multiple-Object Tracking
https://github.com/yihongXU/deepMOT
공식 코드https://github.com/yijieyang23/skelet-gcn
공식 코드Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
https://github.com/yikaiw/vidu4d
공식 코드Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
https://github.com/yilliajing/action-ood
공식 코드https://github.com/yilliajing/skeleton-ood
공식 코드https://github.com/yimuwangcs/Better_Cross_Modal_Retrieval
공식 코드Video-Text Retrieval by Supervised Sparse Multi-Grained Learning
https://github.com/yingqinghe/lvdm
공식 코드Latent Video Diffusion Models for High-Fidelity Long Video Generation
https://github.com/yingsen1/unimd
공식 코드UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
https://github.com/yiranran/Audio-driven-TalkingFace-HeadPose
공식 코드Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
https://github.com/yisen-feng/osgnet
공식 코드https://github.com/yiskw713/asrf
공식 코드Alleviating Over-segmentation Errors by Detecting Action Boundaries
https://github.com/yisuitt/mobius
공식 코드Mobius: Text to Seamless Looping Video Generation via Latent Shift
https://github.com/yitong91/StoryGAN
공식 코드StoryGAN: A Sequential Conditional GAN for Story Visualization
https://github.com/yixuan423/compressed-face-videos-quality-assessment
공식 코드Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method
https://github.com/yjiangcm/lte
공식 코드https://github.com/yjxiong/action-detection
공식 코드A Pursuit of Temporal Accuracy in General Activity Detection
https://github.com/yjxiong/anet2016-cuhk
공식 코드https://github.com/yjxiong/caffe
공식 코드https://github.com/yjxiong/temporal-segment-networks
공식 코드Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/yjzhang96/UTI-VFI
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.